AWS Zero to Hero: Day 4 Insights

Task 3: Deploy a scalable web application. The application consists of a MySQL database managed by Amazon RDS and a flask based web application that automatically scale based on demand using an Auto Scaling group and an Elastic Load Balancer.

Deploy this: Two-tier application

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Created AWS RDS with MySQL:

Created EC2 template with following user data:

 #!/bin/bash

 # Update system
 sudo apt update -y

 # Install Docker & MySQL client
 sudo apt install docker.io mysql-client -y

 # Add 'ubuntu' user to Docker group
 sudo usermod -aG docker ubuntu

 # Enable Docker service
 sudo systemctl enable docker
 sudo systemctl start docker

 # Wait until the RDS instance is ready to accept connections (optional but useful)
 until mysql -u admin -h database-1.cdsswsgcuo0c.us-east-1.rds.amazonaws.com -P 3306 -pdevops2004 -e "SELECT 1;" &>/dev/null; do
   echo "Waiting for MySQL..."
   sleep 5
 done

 # Create the database if it doesn't exist
 mysql -u admin -h database-1.cdsswsgcuo0c.us-east-1.rds.amazonaws.com -P 3306 -pdevops2004 -e "CREATE DATABASE IF NOT EXISTS flaskdb;"

 # Pull your Flask app Docker image
 sudo docker pull amitabhdevops/aws-flask-app:latest

 # Run the Flask app
 sudo docker run -d \
   --name flaskapp \
   -e MYSQL_HOST=database-1.cdsswsgcuo0c.us-east-1.rds.amazonaws.com \
   -e MYSQL_USER=admin \
   -e MYSQL_PASSWORD=devops2004 \
   -e MYSQL_DB=flaskdb \
   -p 80:5000 \
   amitabhdevops/aws-flask-app:latest

Then, Created AWS AutoScaling Group with this template
After that, I created an IAM role for EC2 service with RDS and CloudWatch full access, and attached it to my EC2 Instance
Modified the RDS to connect with my Instance
Connected to first instance, which is created from ASG
and checked the databases content
output images:

AWS Zero to Hero Day 4 - part 2

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Command Palette

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